Riqiang Gao
About
Riqiang Gao has authored 33 papers that have received a total of 196 indexed citations.
This includes 23 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 8 papers in Computer Vision and Pattern Recognition. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (18 papers), Lung Cancer Diagnosis and Treatment (12 papers) and COVID-19 diagnosis using AI (8 papers). Riqiang Gao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), Lung Cancer Diagnosis and Treatment (12 papers) and COVID-19 diagnosis using AI (8 papers) and collaborates with scholars based in United States, Germany and South Korea. Riqiang Gao's co-authors include Bennett A. Landman, Yuankai Huo, Yucheng Tang, Shunxing Bao and Sanja Antic and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Medical Physics.
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